Developing an argument annotation scheme based on a semantic classification of arguments
Lea Kawaletz, Heidrun Dorgeloh, Stefan Conrad, Zeljko Bekcic
Abstract
Corpora of argumentative discourse are commonly analyzed in terms of argumentative units, consisting of claims and premises. Both argument detection and classification are complex discourse processing tasks. Our paper introduces a semantic classification of arguments that can help to facilitate argument detection. We report on our experiences with corpus annotations using a function-based classification of arguments and a procedure for operationalizing the scheme by using semantic templates.- Anthology ID:
- 2022.sigdial-1.6
- Volume:
- Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Month:
- September
- Year:
- 2022
- Address:
- Edinburgh, UK
- Editors:
- Oliver Lemon, Dilek Hakkani-Tur, Junyi Jessy Li, Arash Ashrafzadeh, Daniel Hernández Garcia, Malihe Alikhani, David Vandyke, Ondřej Dušek
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 62–67
- Language:
- URL:
- https://aclanthology.org/2022.sigdial-1.6
- DOI:
- 10.18653/v1/2022.sigdial-1.6
- Cite (ACL):
- Lea Kawaletz, Heidrun Dorgeloh, Stefan Conrad, and Zeljko Bekcic. 2022. Developing an argument annotation scheme based on a semantic classification of arguments. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 62–67, Edinburgh, UK. Association for Computational Linguistics.
- Cite (Informal):
- Developing an argument annotation scheme based on a semantic classification of arguments (Kawaletz et al., SIGDIAL 2022)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/2022.sigdial-1.6.pdf